100 search results - page 7 / 20 » Multi-objective techniques in genetic programming for evolvi... |
EUROGP
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. A new model for evolving crossover operators for evolutionary function optimization is proposed in this paper. The model is a hybrid technique that combines a Genetic Pro...
TSMC
2008
13 years 7 months ago
2008
In genetic programming (GP), evolving tree nodes separately would reduce the huge solution space. However, tree nodes are highly interdependent with respect to their fitness. In th...
EUROGP
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Cartesian Genetic Programming is a graph based representation that has many benefits over traditional tree based methods, including bloat free evolution and faster evolu...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
The use of machine learning techniques to automatically analyse data for information is becoming increasingly widespread. In this paper we examine the use of Genetic Programming a...
EUROGP
2009
Springer
14 years 2 months ago
2009
Springer
Self Modifying CGP (SMCGP) is a developmental form of Cartesian Genetic Programming(CGP). It is able to modify its own phenotype during execution of the evolved program. This is do...